Sequential Bayesian kernel modelling with non-Gaussian noise

DOI10.1016/J.NEUNET.2007.08.001zbMath1254.68216OpenAlexW1996996088WikidataQ40156842 ScholiaQ40156842MaRDI QIDQ1931975

Nickolav I. Nickolaev, Lilian M. de Menezes

Publication date: 17 January 2013

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2007.08.001

zbMATH Keywords

Bayesian inferencenoise distributionsequential estimationkernel modelling of data

Mathematics Subject Classification ID

Bayesian inference (62F15) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Robust sequential learning of feedforward neural networks in the presence of heavy-tailed noise

Uses Software

• PRMLT

Cites Work

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• An introduction to variational methods for graphical models
• Constructing Bayesian formulations of sparse kernel learning methods
• 10.1162/15324430152748236
• Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis
• Variational Bayes for generalized autoregressive models
• The Kernel Recursive Least-Squares Algorithm
• Adaptive Learning of Polynomial Networks
• Robust Statistics

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